Triple
T10208668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell Internet |
E242269
|
entity |
| Predicate | offersSpeedTier |
P92714
|
FINISHED |
| Object | Entry‑level broadband speeds |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Entry‑level broadband speeds | Statement: [Bell Internet, offersSpeedTier, Entry‑level broadband speeds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersSpeedTier Context triple: [Bell Internet, offersSpeedTier, Entry‑level broadband speeds]
-
A.
offersGrade
Indicates that one entity assigns or provides an academic grade or evaluation to another entity.
-
B.
offersPricingModel
Indicates that one entity provides or makes available a specific pricing model to another entity or for a particular offering.
-
C.
offersComputeTier
Indicates that one entity provides or makes available a specific level or category of computing resources to another entity.
-
D.
offersGradeRange
Indicates that an entity provides educational instruction or services spanning a specified range of grade levels.
-
E.
offersTrimLevel
Indicates that a product or model is available in a specific trim level or configuration option.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa22071c819095febd18dd607978 |
completed | April 6, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69d39559e5ac8190b88eca75956b7e6a |
completed | April 6, 2026, 11:13 a.m. |
| PDg | Predicate description generation | batch_69d3aa208c248190a0fb186b106389f3 |
completed | April 6, 2026, 12:42 p.m. |
Created at: April 6, 2026, 10:59 a.m.